Gail K. Mattson

865 citations
24 papers · 601 indexed · h-index 15
Topics
Receptor Mechanisms and Signaling (14 papers)Neuropeptides and Animal Physiology (9 papers)Neurotransmitter Receptor Influence on Behavior (8 papers)
Partner nations
United StatesGermany

In The Last Decade

Gail K. Mattson

24 papers receiving 583 citations

Peers

Gail K. Mattson
Comparison fields: 5 of 90
  • Molecular Biology 291
  • Organic Chemistry 203
  • Cellular and Molecular Neuroscience 143
  • Biomedical Engineering 51
  • Endocrine and Autonomic Systems 50
Replace Giuseppina Sabatino with:
Giuseppina Sabatino Italy
Lieselot L. G. Carrette United States
Andrea Straßer Germany
Silvia Grancara Italy
Pascal Verdié France
R.V. Omkumar India
Yuki Fujii Japan
Chhuttan L. Meena India
Yueh‐Erh Rahman United States
Malcolm K. Scott United States
Gail K. Mattson relative to Giuseppina Sabatino Italy Giuseppina Sabatino's profile →
Citations per field
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Giuseppina Sabatino · 1×
Citations per year

Countries citing papers authored by Gail K. Mattson

Since Specialization
Citations

This map shows the geographic impact of Gail K. Mattson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gail K. Mattson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail K. Mattson more than expected).

Fields of papers citing papers by Gail K. Mattson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail K. Mattson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gail K. Mattson. The network helps show where Gail K. Mattson may publish in the future.

Co-authorship network of co-authors of Gail K. Mattson

This figure shows the co-authorship network connecting the top 25 collaborators of Gail K. Mattson. A scholar is included among the top collaborators of Gail K. Mattson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gail K. Mattson. Gail K. Mattson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 21
2 5
3 2
4 4
5 2
6 16
7 16
8 24
9 6
10 32
11 33
12 38
13 19
14 17
15 20
16 16
17 17
18 14
19 30
20 215

About Gail K. Mattson

Gail K. Mattson is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 24 papers that have together received 601 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (9 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (143 citations), Endocrine and Autonomic Systems (50 citations) and Organic Chemistry (203 citations). Gail K. Mattson has collaborated with scholars based in United States and Germany. Frequent co-authors include Edwin Conklin, Surbhi Desai, Miles D. Savage, Thaddeus F. Molski, Nicholas J. Lodge, John E. Macor, Ronald J. Mattson, Graham S. Poindexter, Qi Gao and Derek J. Denhart. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Pharmacology and Neuropharmacology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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